Top "Decision-tree" questions

A decision tree is a decision support tool that uses a tree-like graph or model of decisions and their possible consequences, including chance event outcomes, resource costs, and utility.

Interpreting the DecisionTreeRegressor score?

I am trying to evaluate a relevance of features and I am using DecisionTreeRegressor() The related part of the code …

python machine-learning scikit-learn decision-tree supervised-learning
Understanding of minbucket function in CART model using R

Assume the training data is "fruit", which I am going to use it for predict using CART model in R &…

r decision-tree rpart
Make a graph in pydot from decision tree in sklearn Python

I expected this code to create a PDF graph of the tree. from sklearn import datasets,tree import StringIO import …

python decision-tree pydot
Drools: insertLogical and retract

This is a follow up on my previous question. I have a decision tree in the following form: and I …

java drools decision-tree expert-system
Why is the runtime to construct a decision tree mnlog(n)?

When m is the amount of features and n is the amount of samples, the python scikit-learn site (http://scikit-learn.…

algorithm machine-learning big-o time-complexity decision-tree
J48 tree in R - train and test classification

I want to use train and test in J48 decision-tree on R. here is my code: library("RWeka") data <…

r classification weka decision-tree j48
can "splitting attribute" appear many times in decision tree?

Just want to clarify one thing: the same attribute can appear in decision tree for many times as long as …

machine-learning data-mining decision-tree
What does the value of 'leaf' in the following xgboost model tree diagram means?

I am guessing that it is conditional probability given that the above (tree branch) condition exists. However, I am not …

python machine-learning random-forest decision-tree xgboost
How to plot/visualize a C50 decision tree in R?

I am using the C50 decision tree algorithm. I am able to build the tree and get the summaries, but …

r plot visualization data-mining decision-tree
Dictionary object to decision tree in Pydot

I have a dictionary object as such: menu = {'dinner':{'chicken':'good','beef':'average','vegetarian':{'tofu':'good','salad':{'caeser':'bad','italian':…

python dictionary machine-learning decision-tree pydot